| Kiyotaka vs Jin | 247–168 | 59.52% |
| Kiyotaka vs Kazuya | 219–127 | 63.29% |
| Kiyotaka vs Bryan | 185–135 | 57.81% |
| Kiyotaka vs Dragunov | 155–135 | 53.45% |
| Kiyotaka vs Heihachi | 140–107 | 56.68% |
| Kiyotaka vs King | 132–112 | 54.10% |
| Kiyotaka vs Law | 110–86 | 56.12% |
| Kiyotaka vs Hwoarang | 100–87 | 53.48% |
| Kiyotaka vs Devil Jin | 115–71 | 61.83% |
| Kiyotaka vs Steve | 86–85 | 50.29% |
| Kiyotaka vs Yoshimitsu | 95–75 | 55.88% |
| Kiyotaka vs Paul | 88–70 | 55.70% |
| Kiyotaka vs Lee | 63–92 | 40.65% |
| Kiyotaka vs Lars | 75–71 | 51.37% |
| Kiyotaka vs Armor King | 54–79 | 40.60% |
| Kiyotaka vs Nina | 77–44 | 63.64% |
| Kiyotaka vs Reina | 54–63 | 46.15% |
| Kiyotaka vs Feng | 51–59 | 46.36% |
| Kiyotaka vs Lili | 60–49 | 55.05% |
| Kiyotaka vs Victor | 45–61 | 42.45% |
| Kiyotaka vs Anna | 45–56 | 44.55% |
| Kiyotaka vs Asuka | 51–45 | 53.12% |
| Kiyotaka vs Jack-8 | 44–49 | 47.31% |
| Kiyotaka vs Claudio | 41–50 | 45.05% |
| Kiyotaka vs Alisa | 48–42 | 53.33% |
| Kiyotaka vs Shaheen | 42–45 | 48.28% |
| Kiyotaka vs Jun | 42–41 | 50.60% |
| Kiyotaka vs Leo | 43–38 | 53.09% |
| Kiyotaka vs Azucena | 39–34 | 53.42% |
| Kiyotaka vs Eddy | 22–48 | 31.43% |
| Kiyotaka vs Leroy | 35–34 | 50.72% |
| Kiyotaka vs Raven | 28–40 | 41.18% |
| Kiyotaka vs Lidia | 29–26 | 52.73% |
| Kiyotaka vs Xiaoyu | 28–25 | 52.83% |
| Kiyotaka vs Zafina | 14–34 | 29.17% |
| Kiyotaka vs Kuma | 20–26 | 43.48% |
| Kiyotaka vs Fahkumram | 16–16 | 50.00% |
| Kiyotaka vs Clive | 10–20 | 33.33% |
| Kiyotaka vs Panda | 8–18 | 30.77% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.